Skip to main content

Convert matplotlib contour plots to geojson

Project description

# geojsoncontour
[![Build Status](https://travis-ci.org/bartromgens/geojsoncontour.svg?branch=master)](https://travis-ci.org/bartromgens/geojsoncontour) [![PyPI version](https://badge.fury.io/py/geojsoncontour.svg)](https://badge.fury.io/py/geojsoncontour) [![Coverage Status](https://coveralls.io/repos/github/bartromgens/geojsoncontour/badge.svg?branch=master)](https://coveralls.io/github/bartromgens/geojsoncontour?branch=master)
A Python 3 module to convert matplotlib contour plots to geojson. Supports both contour and contourf plots.

Designed to show geographical [contour plots](http://matplotlib.org/examples/pylab_examples/contour_demo.html),
created with [matplotlib/pyplot](https://github.com/matplotlib/matplotlib), as vector layer on interactive slippy maps like [OpenLayers](https://github.com/openlayers/ol3) and [Leaflet](https://github.com/Leaflet/Leaflet).

Demo project that uses geojsoncontour: [climatemaps.romgens.com](http://climatemaps.romgens.com)

![geojson contour demo usage](https://raw.githubusercontent.com/bartromgens/geojsoncontour/master/data/example_climatemaps.png)

## Installation
Install with pip,
```
$ pip install geojsoncontour
```

## Usage

Use `contour_to_geojson` to create a geojson with contour lines from a `matplotlib.contour` plot (not filled).
Use `contourf_to_geojson` to create a geojson with filled contours from a `matplotlib.contourf` plot.

### Contour plot to geojson
```python
import numpy
import matplotlib.pyplot as plt
import geojsoncontour

# Create contour data lon_range, lat_range, Z
<your code here>

# Create a contour plot plot from grid (lat, lon) data
figure = plt.figure()
ax = figure.add_subplot(111)
contour = ax.contour(lon_range, lat_range, Z, cmap=plt.cm.jet)

# Convert matplotlib contour to geojson
geojson = geojsoncontour.contour_to_geojson(
contour=contour,
ndigits=3,
unit='m'
)
```
For filled contour plots (`matplotlib.contourf`) use `contourf_to_geojson`.
See [example_contour.py](examples/example_contour.py) and [example_contourf.py](examples/example_contourf.py) for simple but complete examples.

### Show the geojson on a map
An easy way to show the generated geojson on a map is the online geojson renderer [geojson.io](http://geojson.io).

### Style properties
Stroke color and width are set as geojson properties following https://github.com/mapbox/simplestyle-spec.

### Create geojson tiles
Try [geojson-vt](https://github.com/mapbox/geojson-vt) or [tippecanoe](https://github.com/mapbox/tippecanoe) if performance is an issue and you need to tile your geojson contours.


## Tests

Run all tests,
```
python -m unittest discover
```

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

geojsoncontour-0.2.1-py3-release-any.whl (8.2 kB view details)

Uploaded Python 3

File details

Details for the file geojsoncontour-0.2.1-py3-release-any.whl.

File metadata

File hashes

Hashes for geojsoncontour-0.2.1-py3-release-any.whl
Algorithm Hash digest
SHA256 8eb6b2092adae28e9bd8d184da01cf22e425f18164e15432bcf3fc6a23cfd118
MD5 aba2a5f556b1528e0cb9594a23a76a7a
BLAKE2b-256 fd0824a58eb329126dad04b7010a1132dd4fa653aaec348cd3c28484289a0949

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page